Multi-Channel RF Supervision Module for Thermal Magnetic Resonance Based Cancer Therapy

Area of Science:

• Biomedical Engineering
• Medical Physics
• Oncology

Background:

• Glioblastoma multiforme (GBM) is an aggressive brain tumor, with hyperthermia combined with conventional treatments improving patient survival.
• Thermal magnetic resonance (ThermalMR) uses radio frequency (RF) energy for targeted heating, requiring precise control of RF signals and patient positioning.
• Effective hyperthermia necessitates accurate monitoring of RF power, phase, and patient alignment to optimize thermal dose and prevent damage.

Purpose of the Study:

• To develop and characterize a multi-channel RF signal supervision module for hyperthermia applications.
• To assess the module's capability in regulating RF signals and detecting patient motion during treatment.
• To establish a technological foundation for advanced ThermalMR applications in cancer therapy.

Main Methods:

• Designed and implemented a multi-channel RF signal supervision module.
• Performed system characterization across a range of frequencies.
• Utilized Monte Carlo and electromagnetic field simulations to analyze RF errors and patient displacement effects.
• Experimentally validated the module's performance in regulating RF signals and detecting submillimeter patient motion.

Main Results:

• The RF supervision module effectively monitors and regulates RF signals for hyperthermia.
• Simulations demonstrated the impact of RF power/phase errors and patient displacement on treatment efficacy.
• The module successfully detected patient motion to a submillimeter level in experimental tests.
• The system proved useful in characterizing RF power amplifiers and controlling RF signals in heating experiments.

Conclusions:

• A cost-effective RF supervision module has been developed, crucial for hyperthermia hardware systems.
• This module enhances the precision and safety of RF-induced hyperthermia for GBM treatment.
• The developed technology provides a basis for future advancements in ThermalMR applications.